Comprehensive Analysis of the Neutrophil-to-Lymphocyte Ratio for Preoperative Prognostic Prediction Nomogram in Gastric Cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08

AUTHORS

Jong-Ho Choi, Yun-Suhk Suh, Yunhee Choi, Jiyeon Han, Tae Han Kim, Shin-Hoo Park, Seong-Ho Kong, Hyuk-Joon Lee, Han-Kwang Yang

ABSTRACT

BACKGROUND: The role of neutrophil-to-lymphocyte ratio (NLR) and preoperative prediction model in gastric cancer is controversial, while postoperative prognostic models are available. This study investigated NLR as a preoperative prognostic indicator in gastric cancer. METHODS: We reviewed patients with primary gastric cancer who underwent surgery during 2007-2010. Preoperative clinicopathologic factors were analyzed with their interaction and used to develop a prognosis prediction nomogram. That preoperative prediction nomogram was compared to a nomogram using pTNM or a historical postoperative prediction nomogram. The contribution of NLR to a preoperative nomogram was evaluated with integrated discrimination improvement (IDI). RESULTS: Using 2539 records, multivariable analysis revealed that NLR was one of the independent prognostic factors and had a significant interaction with only age among other preoperative factors (especially significant in patients < 50 years old). NLR was constantly significant between 1.1 and 3.1 without any distinctive cutoff value. Preoperative prediction nomogram using NLR showed a Harrell's C-index of 0.79 and an R2 of 25.2%, which was comparable to the C-index of 0.78 and 0.82 and R2 of 26.6 and 25.8% from nomogram using pTNM and a historical postoperative prediction nomogram, respectively. IDI of NLR to nomogram in the overall population was 0.65%, and that of patients < 50 years old was 2.72%. CONCLUSIONS: NLR is an independent prognostic factor for gastric cancer, especially in patients < 50 years old. A preoperative prediction nomogram using NLR can predict prognosis of gastric cancer as effectively as pTNM and a historical postoperative prediction nomogram. More... »

PAGES

2530-2541

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00268-018-4510-4

DOI

http://dx.doi.org/10.1007/s00268-018-4510-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100777328

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29392430


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